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Effacer les filtres

Is my feature extraction using glcm is true or false? Please!!!

2 vues (au cours des 30 derniers jours)
Yoon ThiriZaw
Yoon ThiriZaw le 24 Juin 2018
Commenté : Image Analyst le 16 Oct 2018
i am doing plant disease detection and classification. i do the following steps:
  1. preprocessing using median filtering
  2. image segmentation using color thresholder app in matlab
  3. feature extraction using GLCM
  4. classification using SVM
In this, i have done step 3 but i'm not certain it is true. So, i want to check up my code in feature extraction don't call function. How can i check up?(Eg. if i get energy=0.5, how to calculate to get 0.5 by handwritten without using mathlab function?)
My code is given in the following:
% Title : Potato Leaf Disease Detection using SVM
clc
close all
clear all
[filename, pathname] = uigetfile({'*.*';'*.bmp';'*.jpg';'*.gif'},
'Pick a Leaf Image File');
I = imread([pathname,filename]);
I = imresize(I,[256,256]);
%figure, imshow(I); title('Input Leaf Image');
%Preprocessing using median filtering
I1 = rgb2gray(I);
I2 = medfilt2(I1,[3 3]);
imshow(I2);title('Filtered Image');
%%Image Segmentation
%Background Removing using Color Thresholder app
[bw,rgb] = background_removal(I);
%Masking Green_Pixels
mask = (rgb(:,:,2)>rgb(:,:,1))&(rgb(:,:,2)>rgb(:,:,3));
seg_img=bsxfun(@times,rgb,cast(imcomplement(mask),'like',rgb));
imshow(seg_img);
%%Feature Extraction
% Convert to grayscale if image is RGB
img = rgb2gray(seg_img);
% Create the Gray Level Cooccurance Matrices (GLCMs)
glcms = graycomatrix(img);
%Evaluate 10 features from the disease affected region only
% Derive Statistics from GLCM
stats = graycoprops(glcms,'Contrast Correlation Energy Homogeneity');
Contrast = stats.Contrast;
Correlation = stats.Correlation;
Energy = stats.Energy;
Homogeneity = stats.Homogeneity;
Mean = mean2(seg_img);
Standard_Deviation = std2(seg_img);
Entropy = entropy(seg_img);
RMS = mean2(rms(seg_img));
%Skewness = skewness(img)
Kurtosis = kurtosis(double(seg_img(:)));
Skewness = skewness(double(seg_img(:)));
% Put the 10 features in an array
feat_disease = [Contrast,Correlation,Energy,Homogeneity, Mean, Standard_Deviation, Entropy, RMS, Kurtosis, Skewness];
Someone can tell me my code is true or false?
  5 commentaires
Yoon ThiriZaw
Yoon ThiriZaw le 25 Juin 2018
Modifié(e) : Image Analyst le 16 Oct 2018
Yes, Image Analyst, I have done. where it's false in segmentation or feature extraction? Can you answer me because it is important for me. Please!
Image Analyst
Image Analyst le 16 Oct 2018
That would be easier to do if you had attached/uploaded an image!

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